// Copyright (C) 2005, International Business Machines
// Corporation and others.  All Rights Reserved.
// This code is licensed under the terms of the Eclipse Public License (EPL).

#include <cassert>
#include <iomanip>

#include "CoinPragma.hpp"
// For Branch and bound
#include "CbcModel.hpp"
#include "CbcBranchActual.hpp"
#include "OsiClpSolverInterface.hpp"

// Time
#include "CoinTime.hpp"

/************************************************************************

This main program reads in an integer model from an mps file.

It then tries to find SOS structure and solves using N-way variables

*************************************************************************/
int main(int argc, const char *argv[])
{

  // Define your favorite OsiSolver

  OsiClpSolverInterface solver1;

  // Read in model using argv[1]
  // and assert that it is a clean model
  std::string mpsFileName;
#if defined(MIPLIB3DIR)
  mpsFileName = MIPLIB3DIR "/10teams";
#else
  if (argc < 2) {
    fprintf(stderr, "Do not know where to find miplib3 MPS files.\n");
    exit(1);
  }
#endif
  if (argc >= 2)
    mpsFileName = argv[1];
  int numMpsReadErrors = solver1.readMps(mpsFileName.c_str(), "");
  if (numMpsReadErrors != 0) {
    printf("%d errors reading MPS file\n", numMpsReadErrors);
    return numMpsReadErrors;
  }

  int iRow, iColumn;
  int numberColumns = solver1.getNumCols();
  int numberRows = solver1.getNumRows();
  // get row copy
  const CoinPackedMatrix *matrix = solver1.getMatrixByRow();
  const double *element = matrix->getElements();
  const int *column = matrix->getIndices();
  const CoinBigIndex *rowStart = matrix->getVectorStarts();
  const int *rowLength = matrix->getVectorLengths();
  const double *rowLower = solver1.getRowLower();
  const double *rowUpper = solver1.getRowUpper();
  const double *columnLower = solver1.getColLower();

  // Look for possible SOS
  int numberSOS = 0;
  int *mark = new int[numberColumns];
  CoinFillN(mark, numberColumns, -1);
  for (iRow = 0; iRow < numberRows; iRow++) {
    if (rowLower[iRow] == 1.0 && rowUpper[iRow] == 1.0) {
      bool goodRow = true;
      for (int j = rowStart[iRow]; j < rowStart[iRow] + rowLength[iRow]; j++) {
        int iColumn = column[j];
        if (element[j] != 1.0 || !solver1.isInteger(iColumn) || mark[iColumn] >= 0 || columnLower[iColumn]) {
          goodRow = false;
          break;
        }
      }
      if (goodRow) {
        // mark all
        for (int j = rowStart[iRow]; j < rowStart[iRow] + rowLength[iRow]; j++) {
          int iColumn = column[j];
          mark[iColumn] = numberSOS;
        }
        numberSOS++;
      }
    }
  }
  std::cout << numberSOS << " SOS" << std::endl;
  if (!numberSOS)
    return 0;
  CbcModel model(solver1);
  // Do sets and priorities
  CbcObject **objects = new CbcObject *[numberSOS];
  int numberIntegers = model.numberIntegers();
  /* model may not have created objects
     If none then create
  */
  if (!numberIntegers || !model.numberObjects()) {
    model.findIntegers(true);
    numberIntegers = model.numberIntegers();
  }
  int *priority = new int[numberSOS];
  // Set SOS priorities high
  CoinFillN(priority, numberSOS, 1);
  // Set up SOS
  int *which = new int[numberColumns];
  for (int iSOS = 0; iSOS < numberSOS; iSOS++) {
    int n = 0;
    for (iColumn = 0; iColumn < numberColumns; iColumn++) {
      if (mark[iColumn] == iSOS)
        which[n++] = iColumn;
    }
    // NULL uses 0,1,2 .. as weights
    objects[iSOS] = new CbcNWay(&model, n, which, iSOS);
  }
  delete[] mark;
  delete[] which;
  model.addObjects(numberSOS, objects);
  for (iColumn = 0; iColumn < numberSOS; iColumn++)
    delete objects[iColumn];
  delete[] objects;
  model.passInPriorities(priority, true);
  delete[] priority;

  // If time is given then stop after that number of minutes
  if (argc > 2) {
    int minutes = atoi(argv[2]);
    std::cout << "Stopping after " << minutes << " minutes" << std::endl;
    assert(minutes >= 0);
    model.setDblParam(CbcModel::CbcMaximumSeconds, 60.0 * minutes);
  }
  // Switch off most output
  model.solver()->setHintParam(OsiDoReducePrint, true, OsiHintTry);
  if (model.getNumCols() < 3000) {
    model.messageHandler()->setLogLevel(1);
    //model.solver()->messageHandler()->setLogLevel(0);
  } else {
    model.messageHandler()->setLogLevel(2);
    //model.solver()->messageHandler()->setLogLevel(1);
  }
  //model.messageHandler()->setLogLevel(1);

  double time1 = CoinCpuTime();

  // Do complete search

  model.branchAndBound();

  std::cout << mpsFileName << " took " << CoinCpuTime() - time1 << " seconds, "
            << model.getNodeCount() << " nodes with objective "
            << model.getObjValue()
            << (!model.status() ? " Finished" : " Not finished")
            << std::endl;

  // Print solution - we can't get names from Osi!

  if (model.getMinimizationObjValue() < 1.0e50) {
    int numberColumns = model.solver()->getNumCols();

    const double *solution = model.solver()->getColSolution();

    int iColumn;
    std::cout << std::setiosflags(std::ios::fixed | std::ios::showpoint) << std::setw(14);

    std::cout << "--------------------------------------" << std::endl;
    for (iColumn = 0; iColumn < numberColumns; iColumn++) {
      double value = solution[iColumn];
      if (fabs(value) > 1.0e-7 && model.solver()->isInteger(iColumn))
        std::cout << std::setw(6) << iColumn << " " << value << std::endl;
    }
    std::cout << "--------------------------------------" << std::endl;

    std::cout << std::resetiosflags(std::ios::fixed | std::ios::showpoint | std::ios::scientific);
  }
  return 0;
}
